Kai Dittmann

753 total citations
19 papers, 528 citations indexed

About

Kai Dittmann is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Kai Dittmann has authored 19 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Kai Dittmann's work include Hedgehog Signaling Pathway Studies (7 papers), Tumors and Oncological Cases (5 papers) and Immune Cell Function and Interaction (4 papers). Kai Dittmann is often cited by papers focused on Hedgehog Signaling Pathway Studies (7 papers), Tumors and Oncological Cases (5 papers) and Immune Cell Function and Interaction (4 papers). Kai Dittmann collaborates with scholars based in Germany, United States and Switzerland. Kai Dittmann's co-authors include Jürgen Wienands, Michael Engelke, Heidi Hahn, Niklas Engels, Ralf Dressel, Björn Stork, Anja Uhmann, Paul Säftig, Bernd Schröder and Janna Schneppenheim and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Kai Dittmann

19 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Dittmann Germany 12 296 208 93 49 49 19 528
Ming Cao Canada 12 175 0.6× 186 0.9× 131 1.4× 25 0.5× 46 0.9× 21 553
Sara Droetto Italy 11 278 0.9× 124 0.6× 59 0.6× 131 2.7× 71 1.4× 11 492
James M. Simone United States 9 309 1.0× 79 0.4× 43 0.5× 30 0.6× 45 0.9× 11 476
Severine Martin‐Lannerée France 13 325 1.1× 187 0.9× 144 1.5× 25 0.5× 44 0.9× 21 662
Jean-Paul Rémy-Martin France 9 142 0.5× 260 1.3× 203 2.2× 21 0.4× 42 0.9× 13 493
Jennifer M. Lu-Kuo United States 9 259 0.9× 275 1.3× 37 0.4× 78 1.6× 39 0.8× 9 516
Gokul Kandala United States 5 197 0.7× 171 0.8× 63 0.7× 63 1.3× 37 0.8× 7 406
S Avraham United States 13 370 1.3× 228 1.1× 91 1.0× 230 4.7× 35 0.7× 18 700
Gregory B. Carey United States 14 303 1.0× 207 1.0× 118 1.3× 48 1.0× 152 3.1× 27 573
Neetha Parameswaran United States 14 276 0.9× 189 0.9× 225 2.4× 50 1.0× 16 0.3× 23 562

Countries citing papers authored by Kai Dittmann

Since Specialization
Citations

This map shows the geographic impact of Kai Dittmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Dittmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Dittmann more than expected).

Fields of papers citing papers by Kai Dittmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Dittmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Dittmann. The network helps show where Kai Dittmann may publish in the future.

Co-authorship network of co-authors of Kai Dittmann

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Dittmann. A scholar is included among the top collaborators of Kai Dittmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Dittmann. Kai Dittmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Bauer, Julia, Kai Dittmann, Christian Dullin, et al.. (2018). Different Response of Ptch Mutant and Ptch Wildtype Rhabdomyosarcoma Toward SMO and PI3K Inhibitors. Frontiers in Oncology. 8. 396–396. 8 indexed citations
2.
Simon‐Keller, Katja, Tobias Pukrop, Florian Klemm, et al.. (2016). LEF1 reduces tumor progression and induces myodifferentiation in a subset of rhabdomyosarcoma. Oncotarget. 8(2). 3259–3273. 11 indexed citations
3.
Lutz, Johannes, Kai Dittmann, Michael R. Bösl, et al.. (2015). Reactivation of IgG-switched memory B cells by BCR-intrinsic signal amplification promotes IgG antibody production. Nature Communications. 6(1). 8575–8575. 28 indexed citations
4.
Linder, Benedikt, Susanne Weber, Kai Dittmann, et al.. (2015). A Functional and Putative Physiological Role of Calcitriol in Patched1/Smoothened Interaction. Journal of Biological Chemistry. 290(32). 19614–19628. 9 indexed citations
5.
Dittmann, Kai, et al.. (2015). Hedgehog Inhibitors in Rhabdomyosarcoma: A Comparison of Four Compounds and Responsiveness of Four Cell Lines. Frontiers in Oncology. 5. 130–130. 21 indexed citations
6.
Nitzki, Frauke, Anja Uhmann, Kai Dittmann, et al.. (2014). Depletion of Cutaneous Macrophages and Dendritic Cells Promotes Growth of Basal Cell Carcinoma in Mice. PLoS ONE. 9(4). e93555–e93555. 26 indexed citations
7.
Uhmann, Anja, Frauke Nitzki, Kai Dittmann, et al.. (2014). DMBA/TPA Treatment Is Necessary for BCC Formation from Patched Deficient Epidermal Cells in PtchCD4Cre Mice. Journal of Investigative Dermatology. 134(10). 2620–2629. 10 indexed citations
8.
Schneppenheim, Janna, Torben Mentrup, Renate Lüllmann‐Rauch, et al.. (2014). The Intramembrane Proteases Signal Peptide Peptidase-Like 2a and 2b Have Distinct Functions In Vivo. Molecular and Cellular Biology. 34(8). 1398–1411. 32 indexed citations
9.
Regen, Tommy, Kai Dittmann, Michael Engelke, et al.. (2013). Empty liposomes induce antitumoral effects associated with macrophage responses distinct from those of the TLR1/2 agonist Pam3CSK4 (BLP). Cancer Immunology Immunotherapy. 62(10). 1587–1597. 10 indexed citations
10.
Engelke, Michael, Thomas Oellerich, Kai Dittmann, et al.. (2013). Cutting Edge: Feed-Forward Activation of Phospholipase Cγ2 via C2 Domain–Mediated Binding to SLP65. The Journal of Immunology. 191(11). 5354–5358. 6 indexed citations
11.
Dittmann, Kai, Manuela Wuelling, Anja Uhmann, et al.. (2013). Inactivation of Patched1 in Murine Chondrocytes Causes Spinal Fusion Without Inflammation. Arthritis & Rheumatology. 66(4). 831–840. 12 indexed citations
12.
Nitzki, Frauke, Albert Rosenberger, Kai Dittmann, et al.. (2012). PI3K Inhibition Enhances Doxorubicin-Induced Apoptosis in Sarcoma Cells. PLoS ONE. 7(12). e52898–e52898. 26 indexed citations
13.
Schneppenheim, Janna, Ralf Dressel, Renate Lüllmann‐Rauch, et al.. (2012). The intramembrane protease SPPL2a promotes B cell development and controls endosomal traffic by cleavage of the invariant chain. The Journal of Experimental Medicine. 210(1). 41–58. 95 indexed citations
14.
Oellerich, Thomas, Konstantin Neumann, Hanibal Bohnenberger, et al.. (2011). Supplementary Movie 1. 2 indexed citations
15.
Uhmann, Anja, Jens van den Brandt, Kai Dittmann, et al.. (2011). T Cell Development Critically Depends on Prethymic Stromal Patched Expression. The Journal of Immunology. 186(6). 3383–3391. 14 indexed citations
16.
Oellerich, Thomas, Konstantin Neumann, Hanibal Bohnenberger, et al.. (2011). The B-cell antigen receptor signals through a preformed transducer module of SLP65 and CIN85. The EMBO Journal. 30(17). 3620–3634. 58 indexed citations
17.
Engelke, Michael, Niklas Engels, Kai Dittmann, Björn Stork, & Jürgen Wienands. (2007). Ca2+ signaling in antigen receptor‐activated B lymphocytes. Immunological Reviews. 218(1). 235–246. 68 indexed citations
18.
Abudula, Abulizi, et al.. (2007). SLP-65 Signal Transduction Requires Src Homology 2 domain-mediated Membrane Anchoring and a Kinase-independent Adaptor Function of Syk. Journal of Biological Chemistry. 282(39). 29059–29066. 16 indexed citations
19.
Uhmann, Anja, Kai Dittmann, Frauke Nitzki, et al.. (2007). The Hedgehog receptor Patched controls lymphoid lineage commitment. Blood. 110(6). 1814–1823. 76 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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